Towards automatic detection of age-related macular degeneration in retinal fundus images

Ziyang Liang; Damon W.K. Wong; Jiang Liu; Kap Luk Chan; Tien Yin Wong

doi:10.1109/IEMBS.2010.5627289

Towards automatic detection of age-related macular degeneration in retinal fundus images

Ziyang Liang^*
, Damon W.K. Wong
, Jiang Liu
, Kap Luk Chan
, Tien Yin Wong

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

44 Citations (Scopus)

Abstract

Age-related macular degeneration (AMD) is a leading cause of blindness worldwide. The disease is highly associated with age, and becoming increasingly prevalent in our aging societies. Drusen is a pathological feature that is well-associated with AMD. In this paper, we present a method of detecting drusen in retinal fundus images. The method first determines the location of the macula, which is used as a landmark for a clinical drusen grading overlay. Subsequently, regions of drusen are identified though a maximal region-based pixel intensity approach via RGB and HSV channels. Methods of reducing the effect of retinal and choroidal vessels are also described. The system is tested on a sample set of 16 fundus images from a clinical study, with half having drusen. Experiments on the results show a sensitivity and specificity of 0.75 on the test image set.

Original language	English
Title of host publication	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Pages	4100-4103
Number of pages	4
DOIs	https://doi.org/10.1109/IEMBS.2010.5627289
Publication status	Published - 2010
Externally published	Yes
Event	2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina Duration: 31 Aug 2010 → 4 Sept 2010

Publication series

Name	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Conference

Conference	2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Country/Territory	Argentina
City	Buenos Aires
Period	31/08/10 → 4/09/10

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus subject areas

Biomedical Engineering
Computer Vision and Pattern Recognition
Signal Processing
Health Informatics

Access to Document

10.1109/IEMBS.2010.5627289

Cite this

Liang, Z., Wong, D. W. K., Liu, J., Chan, K. L., & Wong, T. Y. (2010). Towards automatic detection of age-related macular degeneration in retinal fundus images. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 (pp. 4100-4103). Article 5627289 (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10). https://doi.org/10.1109/IEMBS.2010.5627289

Liang, Ziyang ; Wong, Damon W.K. ; Liu, Jiang et al. / Towards automatic detection of age-related macular degeneration in retinal fundus images. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. 2010. pp. 4100-4103 (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10).

@inproceedings{be0c17fc9fc546bf90bcd991a98ff864,

title = "Towards automatic detection of age-related macular degeneration in retinal fundus images",

abstract = "Age-related macular degeneration (AMD) is a leading cause of blindness worldwide. The disease is highly associated with age, and becoming increasingly prevalent in our aging societies. Drusen is a pathological feature that is well-associated with AMD. In this paper, we present a method of detecting drusen in retinal fundus images. The method first determines the location of the macula, which is used as a landmark for a clinical drusen grading overlay. Subsequently, regions of drusen are identified though a maximal region-based pixel intensity approach via RGB and HSV channels. Methods of reducing the effect of retinal and choroidal vessels are also described. The system is tested on a sample set of 16 fundus images from a clinical study, with half having drusen. Experiments on the results show a sensitivity and specificity of 0.75 on the test image set.",

author = "Ziyang Liang and Wong, \{Damon W.K.\} and Jiang Liu and Chan, \{Kap Luk\} and Wong, \{Tien Yin\}",

note = "Copyright: Copyright 2011 Elsevier B.V., All rights reserved.; 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 ; Conference date: 31-08-2010 Through 04-09-2010",

year = "2010",

doi = "10.1109/IEMBS.2010.5627289",

language = "English",

isbn = "9781424441235",

series = "2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10",

pages = "4100--4103",

booktitle = "2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10",

}

Liang, Z, Wong, DWK, Liu, J, Chan, KL & Wong, TY 2010, Towards automatic detection of age-related macular degeneration in retinal fundus images. in 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10., 5627289, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, pp. 4100-4103, 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, Buenos Aires, Argentina, 31/08/10. https://doi.org/10.1109/IEMBS.2010.5627289

Towards automatic detection of age-related macular degeneration in retinal fundus images. / Liang, Ziyang; Wong, Damon W.K.; Liu, Jiang et al.
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. 2010. p. 4100-4103 5627289 (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Towards automatic detection of age-related macular degeneration in retinal fundus images

AU - Liang, Ziyang

AU - Wong, Damon W.K.

AU - Liu, Jiang

AU - Chan, Kap Luk

AU - Wong, Tien Yin

PY - 2010

Y1 - 2010

N2 - Age-related macular degeneration (AMD) is a leading cause of blindness worldwide. The disease is highly associated with age, and becoming increasingly prevalent in our aging societies. Drusen is a pathological feature that is well-associated with AMD. In this paper, we present a method of detecting drusen in retinal fundus images. The method first determines the location of the macula, which is used as a landmark for a clinical drusen grading overlay. Subsequently, regions of drusen are identified though a maximal region-based pixel intensity approach via RGB and HSV channels. Methods of reducing the effect of retinal and choroidal vessels are also described. The system is tested on a sample set of 16 fundus images from a clinical study, with half having drusen. Experiments on the results show a sensitivity and specificity of 0.75 on the test image set.

AB - Age-related macular degeneration (AMD) is a leading cause of blindness worldwide. The disease is highly associated with age, and becoming increasingly prevalent in our aging societies. Drusen is a pathological feature that is well-associated with AMD. In this paper, we present a method of detecting drusen in retinal fundus images. The method first determines the location of the macula, which is used as a landmark for a clinical drusen grading overlay. Subsequently, regions of drusen are identified though a maximal region-based pixel intensity approach via RGB and HSV channels. Methods of reducing the effect of retinal and choroidal vessels are also described. The system is tested on a sample set of 16 fundus images from a clinical study, with half having drusen. Experiments on the results show a sensitivity and specificity of 0.75 on the test image set.

UR - https://www.scopus.com/pages/publications/78650805723

U2 - 10.1109/IEMBS.2010.5627289

DO - 10.1109/IEMBS.2010.5627289

M3 - Conference contribution

C2 - 21096627

AN - SCOPUS:78650805723

SN - 9781424441235

T3 - 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

SP - 4100

EP - 4103

BT - 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

T2 - 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Y2 - 31 August 2010 through 4 September 2010

ER -

Liang Z, Wong DWK, Liu J, Chan KL, Wong TY. Towards automatic detection of age-related macular degeneration in retinal fundus images. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. 2010. p. 4100-4103. 5627289. (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10). doi: 10.1109/IEMBS.2010.5627289

Towards automatic detection of age-related macular degeneration in retinal fundus images

Abstract

Publication series

Conference

UN SDGs

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this